Enhanced battlefield visualization for situation awareness

Young J. Kim, Christoph M. Hoffmann

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


We present tools to visualize density, clustering, and lethality assessment that help a military commander achieve situation awareness on the battlefield. For the density computation, we provide a geometry-based, image-based, and hybrid approach to tackle the problem. We choose proximity-based clustering as a suitable definition for our application. Based on this clustering definition, we show an efficient computational method based on the Delaunay triangulation. Finally, we present a probabilistic model for the lethality assessment and an efficient way to compute it using hardware support where available. We also explain how to deliver visual information to the human visual system effectively. The principles of human visual perception, such as preattentive and Gestalt perceptual processing, play an important role in this work.

Original languageEnglish
Pages (from-to)873-885
Number of pages13
JournalComputers and Graphics (Pergamon)
Issue number6
StatePublished - Dec 2003

Bibliographical note

Funding Information:
This work is supported in part by ARO Contract 39136-MA and by NSF Grant CCR 99-02025.


  • Clustering
  • Delaunay triangulation
  • Density
  • Situation awareness


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